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Prediction of stress-strain behaviors in steels using an integrated constitutive, FEM and ANN model

Kong, Lingxue, Wang, B. and Hodgson, Peter 2001, Prediction of stress-strain behaviors in steels using an integrated constitutive, FEM and ANN model, ISIJ international, vol. 41, no. 7, pp. 795-800, doi: 10.2355/isijinternational.41.795.

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Title Prediction of stress-strain behaviors in steels using an integrated constitutive, FEM and ANN model
Author(s) Kong, LingxueORCID iD for Kong, Lingxue orcid.org/0000-0001-6219-3897
Wang, B.
Hodgson, Peter
Journal name ISIJ international
Volume number 41
Issue number 7
Start page 795
End page 800
Publisher Iron and Steel Institute of Japan
Place of publication Tokyo, Japan
Publication date 2001
ISSN 0915-1559
1347-5460
Keyword(s) finite element methods
constitutive model
artificial neural networks
hot strength
simulation
Summary Austenitic steels with a carbon content of 0.0037 to 0.79 wt% C are torsion tested and modeled using a physically based constitutive model and an Integrated Phenomenological and Artificial neural Network (IPANN) model. The prediction of both the constitutive and IPANN models on steel 0.017 wt% C is then evaluated using a finite element (FEM) code ABAQUS with different reduction in the thickness after rolling through one roll stand. It is found that during the rolling process, the prediction accuracy of the reaction force from FEM simulation for both constitutive and IPANN models depends on the strain achieved (average reduction in thickness). By integrating FEM into IPANN model and introducing the product of strain and stress as an input of the ANN model, the accuracy of this integrated FEM and IPANN model is higher than either the constitutive or IPANN model.
Language eng
DOI 10.2355/isijinternational.41.795
Indigenous content off
Field of Research 091499 Resources Engineering and Extractive Metallurgy not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2001, ISIJ
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30001381

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.